Post-Processing Techniques for Improving Predictions of Multilabel Learning Approaches

no code implementations • IJCNLP 2017 • Akshay Soni, Aasish Pappu, Jerry Chia-mau Ni, Troy Chevalier

In Multilabel Learning (MLL) each training instance is associated with a set of labels and the task is to learn a function that maps an unseen instance to its corresponding label set.